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DBMS > EsgynDB vs. Lovefield vs. PostGIS vs. Speedb vs. Weaviate

System Properties Comparison EsgynDB vs. Lovefield vs. PostGIS vs. Speedb vs. Weaviate

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonLovefield  Xexclude from comparisonPostGIS  Xexclude from comparisonSpeedb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEmbeddable relational database for web apps written in pure JavaScriptSpatial extension of PostgreSQLAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSSpatial DBMSKey-value storeVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.21
Rank#315  Overall
#45  Key-value stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.esgyn.cngoogle.github.io/­lovefieldpostgis.netwww.speedb.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdpostgis.net/­documentationweaviate.io/­developers/­weaviate
DeveloperEsgynGoogleSpeedbWeaviate B.V.
Initial release20152014200520202019
Current release2.1.12, February 20173.4.2, February 20241.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL v2.0Open Source infoApache Version 2.0; commercial license availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaScriptCC++Go
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
Data schemeyesyesyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesnoyes infostring, int, float, geo point, date, cross reference, fuzzy references
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesnono
Secondary indexesyesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternyesnoGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJavaScriptC
C++
Go
Java
Perl
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnouser defined functionsnono
TriggersnoUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infobased on PostgreSQLhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnoneyes infobased on PostgreSQLyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infobased on PostgreSQLnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EsgynDBLovefieldPostGISSpeedbWeaviate
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
EsgynDBLovefieldPostGISSpeedbWeaviate
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